Kumar, S. (Shaji)
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- A dose-finding Phase 2 study of single agent isatuximab (anti-CD38 mAb) in relapsed/refractory multiple myeloma(Springer Nature, 2020) Lendvai, N. (Nikoletta); Gasparetto, C. (Cristina); Hari, P. (Parameswaran); Kaufman, J.L. (Jonathan L.); Ocio, E.M. (Enrique M.); Chiron, M. (Marielle); Kumar, S. (Shaji); Mikhael, J. (Joseph); Bensinger, W. (William); Martin, T. (Thomas); Vij, R. (Ravi); Oprea, C. (Corina); Zonder, J. (Jeffrey); Richter, J. (Joshua); Brillac, C. (Claire); Cole, C. (Craig); Dimopoulos, M.A. (Meletios A.); San-Miguel, J.F. (Jesús F.); Charpentier, E. (Eric)A Phase 2 dose-finding study evaluated isatuximab, an anti-CD38 monoclonal antibody, in relapsed/refractory multiple myeloma (RRMM; NCT01084252). Patients with ≥3 prior lines or refractory to both immunomodulatory drugs and proteasome inhibitors (dual refractory) were randomized to isatuximab 3 mg/kg every 2 weeks (Q2W), 10 mg/kg Q2W(2 cycles)/Q4W, or 10 mg/kg Q2W. A fourth arm evaluated 20 mg/kg QW(1 cycle)/Q2W. Patients (N = 97) had a median (range) age of 62 years (38–85), 5 (2–14) prior therapy lines, and 85% were double refractory. The overall response rate (ORR) was 4.3, 20.0, 29.2, and 24.0% with isatuximab 3 mg/kg Q2W, 10 mg/kg Q2W/Q4W, 10 mg/kg Q2W, and 20 mg/kg QW/Q2W, respectively. At doses ≥10 mg/kg, median progression-free survival and overall survival were 4.6 and 18.7 months, respectively, and the ORR was 40.9% (9/22) in patients with high-risk cytogenetics. CD38 receptor density was similar in responders and non-responders. The most common nonhematologic adverse events (typically grade ≤2) were nausea (34.0%), fatigue (32.0%), and upper respiratory tract infections (28.9%). Infusion reactions (typically with first infusion and grade ≤2) occurred in 51.5% of patients. In conclusion, isatuximab is active and generally well tolerated in heavily pretreated RRMM, with greatest efficacy at doses ≥10 mg/kg.
- Clinical predictors of long-term survival in newly diagnosed transplant eligible multiple myeloma - an IMWG Research Project(Springer Nature, 2018) Durie, B. (B.); Attal, M. (Michele); Moreau, P. (Philippe); Lee, J.H. (Jae Hoon); Turesson, I. (Ingemar); Cavo, M. (Michele); Barlogie, B. (Bart); Usmani, S.Z. (Saad Z.); Hajek, R. (R.); Kumar, S. (Shaji); Lenhof, S. (Stig); Morgan, G.J. (Gareth J.); Lahuerta, J.J. (Juan José); Goldschimdt, H. (Hartmut); Hoering, A. (Antje); Rajkumar, S.V. (S. Vincent); San-Miguel, J.F. (Jesús F.)Purpose: multiple myeloma is considered an incurable hematologic cancer but a subset of patients can achieve long-term remissions and survival. The present study examines the clinical features of long-term survival as it correlates to depth of disease response. Patients & Methods: this was a multi-institutional, international, retrospective analysis of high-dose melphalan-autologous stem cell transplant (HDM-ASCT) eligible MM patients included in clinical trials. Clinical variable and survival data were collected from 7291 MM patients from Czech Republic, France, Germany, Italy, Korea, Spain, the Nordic Myeloma Study Group and the United States. Kaplan–Meier curves were used to assess progression-free survival (PFS) and overall survival (OS). Relative survival (RS) and statistical cure fractions (CF) were computed for all patients with available data. Results: achieving CR at 1 year was associated with superior PFS (median PFS 3.3 years vs. 2.6 years, p < 0.0001) as well as OS (median OS 8.5 years vs. 6.3 years, p < 0.0001). Clinical variables at diagnosis associated with 5-year survival and 10-year survival were compared with those associated with 2-year death. In multivariate analysis, age over 65 years (OR 1.87, p = 0.002), IgA Isotype (OR 1.53, p = 0.004), low albumin < 3.5 g/dL (OR = 1.36, p = 0.023), elevated beta 2 microglobulin ≥ 3.5 mg/dL (OR 1.86, p < 0.001), serum creatinine levels ≥ 2 mg/dL (OR 1.77, p = 0.005), hemoglobin levels < 10 g/dL (OR 1.55, p = 0.003), and platelet count < 150k/μL (OR 2.26, p < 0.001) appeared to be negatively associated with 10-year survival. The relative survival for the cohort was ~0.9, and the statistical cure fraction was 14.3%. Conclusions: these data identify CR as an important predictor of long-term survival for HDM-ASCT eligible MM patients. They also identify clinical variables reflective of higher disease burden as poor prognostic markers for long-term survival.
- International Myeloma Working Group risk stratification model for smoldering multiple myeloma (SMM)(2020) Gonzalez-Calle, V. (Veronica); Durie, B. (B.); Hansson, M. (Markus); Ukropec, J. (Jon); Usmani, S.Z. (Saad Z.); Merlini, G. (G.); Zamagni, E. (Elena); Min, C.K. (Chang-Ki); Qi, M. (Ming); Ludwig, H. (Heinz); Hajek, R. (R.); Mateos, M.V. (María Victoria); De-Larrea, C.F. (Carlos Fernández); Esteves, G. (Graça); Kumar, S. (Shaji); Gozzetti, A. (A.); Morgan, G.J. (Gareth J.); Geraldes, C. (Catarina); Kyriakou, C. (Charalampia); Goldschmidt, H. (Hartmut); Kim, B.S. (Byung-Su); Dimopoulos, M.A. (Meletios A.); Kastritis, E. (Efstathios); Weiss, B.M. (Brendan M.); Fantl, D. (Dorotea); Rajkumar, S.V. (S. Vincent); San-Miguel, J.F. (Jesús F.); Leleu, X. (Xavier); Garderet, L. (Laurent)Smoldering multiple myeloma (SMM) is an asymptomatic precursor state of multiple myeloma (MM). Recently, MM was redefined to include biomarkers predicting a high risk of progression from SMM, thus necessitating a redefinition of SMM and its risk stratification. We assembled a large cohort of SMM patients meeting the revised IMWG criteria to develop a new risk stratification system. We included 1996 patients, and using stepwise selection and multivariable analysis, we identified three independent factors predicting progression risk at 2 years: serum M-protein >2 g/dL (HR: 2.1), involved to uninvolved free light-chain ratio >20 (HR: 2.7), and marrow plasma cell infiltration >20% (HR: 2.4). This translates into 3 categories with increasing 2-year progression risk: 6% for low risk (38%; no risk factors, HR: 1); 18% for intermediate risk (33%; 1 factor; HR: 3.0), and 44% for high risk (29%; 2–3 factors). Addition of cytogenetic abnormalities (t(4;14), t(14;16), +1q, and/or del13q) allowed separation into 4 groups (low risk with 0, low intermediate risk with 1, intermediate risk with 2, and high risk with ≥3 risk factors) with 6, 23, 46, and 63% risk of progression in 2 years, respectively. The 2/20/20 risk stratification model can be easily implemented to identify high-risk SMM for clinical research and routine practice and will be widely applicable.
- Interpreting clinical trial data in multiple myeloma: translating findings to the real-world setting(Springer Nature, 2018) Moreau, P. (Philippe); Skacel, T. (Tomas); Anderson, K. (Kenneth C.); Hajek, R. (R.); Cessario, R. (Romanus); Kumar, S. (Shaji); Palumbo, A. (Antonio); Dimopoulos, M.A. (Meletios A.); Luptakova, K. (Katarina); Richardson, P.G. (Paul G.); Romanus, D. (Dorothy); Laubach, J.P. (Jacob P.); San-Miguel, J.F. (Jesús F.)Substantial improvements in survival have been seen in multiple myeloma (MM) over recent years, associated with the introduction and widespread use of multiple novel agents and regimens, as well as the emerging treatment paradigm of continuous or long-term therapy. However, these therapies and approaches may have limitations in the community setting, associated with toxicity burden, patient burden, and other factors including cost. Consequently, despite improvements in efficacy in the rigorously controlled clinical trials setting, the same results are not always achieved in real-world practice. Furthermore, the large number of different treatment options and regimens under investigation in various MM settings precludes the feasibility of obtaining head-to-head clinical trial data, and there is a temptation to use cross-trial comparisons to evaluate data across regimens. However, multiple aspects, including patient-related, disease-related, and treatment-related factors, can influence clinical trial outcomes and lead to differences between studies that may confound direct comparisons between data. In this review, we explore the various factors requiring attention when evaluating clinical trial data across available agents/regimens, as well as other considerations that may impact the translation of these findings into everyday MM management. We also investigate discrepancies between clinical trial efficacy and real-world effectiveness through a literature review of non-clinical trial data in relapsed/ refractory MM on novel agent−based regimens and evaluate these data in the context of phase 3 trial results for recently approved and commonly used regimens. We thereby demonstrate the complexity of interpreting data across clinical studies in MM, as well as between clinical studies and routine-care analyses, with the aim to help clinicians consider all the necessary issues when tailoring individual patients’ treatment approaches.